Triple

T22851464
Position Surface form Disambiguated ID Type / Status
Subject Amami Ryukyuan E566365 entity
Predicate hasDialect P4251 FINISHED
Object Koniya dialect
The Koniya dialect is a regional variety of the Amami Ryukyuan language spoken in and around the Koniya area of Japan’s Amami Islands.
 E1561370 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Koniya dialect | Statement: [Amami Ryukyuan, hasDialect, Koniya dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koniya dialect
Context triple: [Amami Ryukyuan, hasDialect, Koniya dialect]
  • A. Aragusuku dialect
    The Aragusuku dialect is a local variety of the Yaeyama Ryukyuan language traditionally spoken on Aragusuku Island in Okinawa, Japan.
  • B. Enahara dialect
    The Enahara dialect is a regional variety of the Makhuwa language cluster spoken in parts of Mozambique.
  • C. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • D. Yamatohama dialect
    The Yamatohama dialect is a regional speech variety of the Northern Ryukyuan language family spoken in part of the Ryukyu Islands of Japan.
  • E. Nago dialect
    The Nago dialect is a regional variety of the Kunigami language spoken around Nago in northern Okinawa, Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Koniya dialect
Triple: [Amami Ryukyuan, hasDialect, Koniya dialect]
Generated description
The Koniya dialect is a regional variety of the Amami Ryukyuan language spoken in and around the Koniya area of Japan’s Amami Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koniya dialect
Target entity description: The Koniya dialect is a regional variety of the Amami Ryukyuan language spoken in and around the Koniya area of Japan’s Amami Islands.
  • A. Aragusuku dialect
    The Aragusuku dialect is a local variety of the Yaeyama Ryukyuan language traditionally spoken on Aragusuku Island in Okinawa, Japan.
  • B. Enahara dialect
    The Enahara dialect is a regional variety of the Makhuwa language cluster spoken in parts of Mozambique.
  • C. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • D. Yamatohama dialect
    The Yamatohama dialect is a regional speech variety of the Northern Ryukyuan language family spoken in part of the Ryukyu Islands of Japan.
  • E. Nago dialect
    The Nago dialect is a regional variety of the Kunigami language spoken around Nago in northern Okinawa, Japan.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb8b3588190b2bc8e7021f9ef10 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc23549548190a00d3c53f5264827 completed May 19, 2026, 1:51 a.m.
NEDg Description generation batch_6a0bc31b94f481909c437296742cfed8 completed May 19, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc38cf34c8190aaca05bbf32d28de completed May 19, 2026, 1:57 a.m.
Created at: April 17, 2026, 3:36 p.m.